Methods for people-driven, near-real time auditable well intervention program

Abstract

A method for a well intervention program is provided. The method includes selecting, from a number of well intervention mandates generated by a number of originators in an oil and gas industry hierarchy, mid-level mandates based on respectively originator rankings, wherein each of the number of well intervention mandates relates to a well intervention activity of the well intervention program, generating, based on respective pre-defined cycle times of the mid-level mandates, a most frequent timeframe, performing, based on a pre-determined audit criterion and over the most frequent timeframe, an audit of the well intervention program to generate an audit result, and presenting the audit result to the number of originators.

What is claimed is: 
     
       1. A method for performing a well intervention operation, comprising:
 selecting, from a plurality of well intervention mandates generated by a plurality of originators in an oil and gas industry hierarchy, mid-level mandates based on respectively originator rankings, wherein each of the plurality of well intervention mandates relates to a well intervention activity of the well intervention operation; 
 generating, based on respective pre-defined cycle times of the mid-level mandates, a most frequent timeframe; 
 generating a well intervention activity plan, wherein the well intervention activity plan specifies activity attributes and activity flags of the well intervention activity for each of the plurality of well intervention mandates, wherein the activity attributes comprise a deliverable measure, a pre-defined cycle time, an impact weighting, a designated human resource, and a status measure, wherein the activity flags comprise a people-drive flag; 
 performing a particular well intervention activity comprising a hydraulic fracturing of a well; 
 obtaining near-real-time well intervention result data over the most frequent timeframe, wherein the near-real-time well intervention result data comprises a performance measure of the hydraulic fracturing of the well; 
 performing, based on a pre-determined audit criterion and over the most frequent timeframe, an audit of the well intervention operation to generate an audit result, wherein the audit result is generated by at least analyzing the near-real-time well intervention result data based on the activity attributes for each of the plurality of well intervention mandates; 
 identifying, based on the people-drive flag, the particular well intervention activity that is associated with individual contributions of the plurality of originators; 
 identifying, from the pre-determined audit criterion, success factors of the particular well intervention activity, wherein the success factors comprise a contribution measure, a verification measure, and a reward measure; 
 generating, by at least analyzing the near-real-time well intervention result data based on the success factors of the particular well intervention activity, a reward as part of the audit result; 
 presenting the audit result to the plurality of originators; and 
 performing, by a well control system and subsequent to presenting the audit result and based at least on the audit result, the well intervention operation, 
 wherein performing the well intervention operation comprises applying a single surveillance run for at least two downhole survey operations to improve an efficiency of the well intervention operation based on the most frequent timeframe, and 
 wherein performing the well intervention operation further comprises controlling and executing, with the well control system, drilling a borehole with a Bottom Hole Assembly (BHA) of a rig. 
 
     
     
       2. The method of  claim 1 ,
 wherein the verification measure describes a deliverable outcome to verify the individual contributions and designates a reviewer to review the deliverable outcome for verifying the individual contributions. 
 
     
     
       3. The method of  claim 1 ,
 wherein the reward measure describes a level of effort to deliver the individual contributions and a level of impact of the individual contribution to the particular well intervention activity. 
 
     
     
       4. The method of  claim 1 ,
 wherein the activity flags further comprise a performance measure flag, 
 wherein the particular well intervention activity is further identified, based on the performance measure flag, as relating to a key performance target of the well intervention operation. 
 
     
     
       5. The method of  claim 1 , further comprising:
 performing, based on the pre-determined audit criterion and the most frequent timeframe, a plurality of audits comprising the audit of the well intervention operation to generate a plurality of audit results comprising the audit result; and 
 generating, using a machine learning algorithm and based on the plurality of audit results, an artificial intelligence (AI) model of the well intervention operation. 
 
     
     
       6. The method of  claim 5 , further comprising:
 adjusting, based on the AI model, the plurality of well intervention mandates of the well intervention operation, 
 wherein the adjusted plurality of well intervention mandates is used for the well intervention operation subsequent to the plurality of audits. 
 
     
     
       7. The method of  claim 6 , further comprising:
 generating, based on the AI model, a predicted long term well intervention result data of the well intervention operation subsequent to the plurality of audits. 
 
     
     
       8. The method of  claim 7 ,
 wherein adjusting, based on the AI model, the plurality of well intervention mandates of the well intervention operation improves the predicted long term well intervention result data. 
 
     
     
       9. A system for performing a well intervention operation, comprising:
 a well control system for performing well intervention activities, a particular well intervention activity comprising a hydraulic fracturing of a well; and 
 a well intervention management system comprising:
 an operation mandate engine configured to select, from a plurality of well intervention mandates generated by a plurality of originators in an oil and gas industry hierarchy, mid-level mandates based on respectively originator rankings, wherein each of the plurality of well intervention mandates relates to a well intervention activity of the well intervention operation; 
 an activity plan engine configured to
 generate, based on respective pre-defined cycle times of the mid-level mandates, a most frequent timeframe; and 
 generate a well intervention activity plan,
 wherein the well intervention activity plan specifies activity attributes of the well intervention activity for each of the plurality of well intervention mandates, wherein the activity attributes comprise a deliverable measure, a pre-defined cycle time, an impact weighting, a designated human resource, and a status measure, and 
 wherein the well intervention activity plan further specifies activity flags of the well intervention activity for each of the plurality of well intervention mandates, wherein the activity flags comprise a people-drive flag; 
 
 
 an audit engine configured to:
 obtain near-real-time well intervention result data over the most frequent timeframe, wherein the near-real-time well intervention result data comprises a performance measure of the hydraulic fracturing of the well; 
 perform, based on a pre-determined audit criterion and over the most frequent timeframe, an audit of the well intervention operation to generate an audit result, wherein the audit result is generated by at least analyzing the near-real-time well intervention result data based on the activity attributes for each of the plurality of well intervention mandates; 
 identify, based on the people-drive flag, the particular well intervention activity that is associated with individual contributions of the plurality of originators; 
 identify, from the pre-determined audit criterion, success factors of the particular well intervention activity, wherein the success factors comprise a contribution measure, a verification measure, and a reward measure; and 
 generate, by at least analyzing the near-real-time well intervention result data based on the success factors of the particular well intervention activity, a reward as part of the audit result; and 
 
 an operation management and artificial intelligence (AI) engine configured to present the audit result to the plurality of originators, 
 
 wherein the well control system performs, subsequent to presenting the audit result and based at least on the audit result, the well intervention operation, 
 wherein performing the well intervention operation comprises applying a single surveillance run for at least two downhole survey operations to improve an efficiency of the well intervention operation based on the most frequent timeframe and 
 wherein performing the well intervention operation further comprises controlling and executing, with the well control system, drilling a borehole with a Bottom Hole Assembly (BHA) of a rig. 
 
     
     
       10. The system of  claim 9 ,
 wherein the verification measure describes a deliverable outcome to verify the individual contributions and designates a reviewer to review the deliverable outcome for verifying the individual contributions. 
 
     
     
       11. The system of  claim 9 ,
 wherein the reward measure describes a level of effort to deliver the individual contributions and a level of impact of the individual contribution to the particular well intervention activity. 
 
     
     
       12. The system of  claim 9 ,
 wherein the activity flags further comprise a performance measure flag, 
 wherein the particular well intervention activity is further identified, based on the performance measure flag, as relating to a key performance target of the well intervention operation. 
 
     
     
       13. The system of  claim 9 ,
 wherein the audit engine is further configured to perform, based on the pre-determined audit criterion and the most frequent timeframe, a plurality of audits comprising the audit of the well intervention operation to generate a plurality of audit results comprising the audit result, and 
 wherein the operation management and AI engine is further configured to generate, using a machine learning algorithm and based on the plurality of audit results, an AI model of the well intervention operation. 
 
     
     
       14. The system of  claim 13 ,
 wherein the operation mandate engine is further configured to adjust, based on the AI model, the plurality of well intervention mandates of the well intervention operation, and 
 wherein the adjusted plurality of well intervention mandates is used for the well intervention operation subsequent to the plurality of audits. 
 
     
     
       15. The system of  claim 14 ,
 wherein the operation management and AI engine is further configured to generate, based on the AI model, a predicted long term well intervention result data of the well intervention operation subsequent to the plurality of audits. 
 
     
     
       16. The system of  claim 15 ,
 wherein adjusting, based on the AI model, the plurality of well intervention mandates of the well intervention operation improves the predicted long term well intervention result data.